The Basic Ideas of Neural Predictive Control
نویسندگان
چکیده
This paper presents the application of predictive control techniques using Artificial Neural Nets (ANN). The idea is illustrate the structure of the predictive controller and the optimization functions that is usually used to update the control action, then apply the ANN technique. The ANN equations and its gradient equations are developed. Based on the ANN capacity to predict, on a optimization function and on a rule to update the control action, NPC (Neural Predictive Control) algorithms are developed and applied to control the selected plant. The paper also proposes an intelligent adaptability to ponder control action as function of dominant pole displacement.
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